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<table width="100%" summary="page for leuk"><tr><td>leuk</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>
Survival Times and White Blood Counts for Leukaemia Patients
</h2>

<h3>Description</h3>

<p>A data frame of data from 33 leukaemia patients.
</p>


<h3>Usage</h3>

<pre>
leuk
</pre>


<h3>Format</h3>

<p>A data frame with columns:
</p>

<dl>
<dt><code>wbc</code></dt><dd>
<p>white blood count.
</p>
</dd>
<dt><code>ag</code></dt><dd>
<p>a test result, <code>"present"</code> or <code>"absent"</code>.
</p>
</dd>
<dt><code>time</code></dt><dd>
<p>survival time in weeks.
</p>
</dd>
</dl>



<h3>Details</h3>

<p>Survival times are given for 33 patients who died from acute
myelogenous leukaemia.  Also measured was the patient's white blood cell
count at the time of diagnosis.  The patients were also factored into 2
groups according to the presence or absence of a morphologic
characteristic of white blood cells. Patients termed AG positive were
identified by the presence of Auer rods and/or significant granulation
of the leukaemic cells in the bone marrow at the time of diagnosis.
</p>


<h3>Source</h3>

<p>Cox, D. R. and Oakes, D. (1984) <em>Analysis of Survival Data</em>.
Chapman &amp; Hall, p. 9.
</p>
<p>Taken from
</p>
<p>Feigl, P. &amp; Zelen, M. (1965) Estimation of exponential survival
probabilities with concomitant information.
<em>Biometrics</em> <b>21</b>, 826&ndash;838.
</p>


<h3>References</h3>

<p>Venables, W. N. and Ripley, B. D. (2002)
<em>Modern Applied Statistics with S.</em> Fourth edition.  Springer.
</p>


<h3>Examples</h3>

<pre>
library(survival)
plot(survfit(Surv(time) ~ ag, data = leuk), lty = 2:3, col = 2:3)

# now Cox models
leuk.cox &lt;- coxph(Surv(time) ~ ag + log(wbc), leuk)
summary(leuk.cox)
</pre>


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